Marvellous Zhou

770 total citations
75 papers, 544 citations indexed

About

Marvellous Zhou is a scholar working on Plant Science, Surgery and Biomedical Engineering. According to data from OpenAlex, Marvellous Zhou has authored 75 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Plant Science, 41 papers in Surgery and 5 papers in Biomedical Engineering. Recurrent topics in Marvellous Zhou's work include Sugarcane Cultivation and Processing (71 papers), Genetics and Plant Breeding (51 papers) and Natural Products and Biological Research (41 papers). Marvellous Zhou is often cited by papers focused on Sugarcane Cultivation and Processing (71 papers), Genetics and Plant Breeding (51 papers) and Natural Products and Biological Research (41 papers). Marvellous Zhou collaborates with scholars based in South Africa, United States and Zimbabwe. Marvellous Zhou's co-authors include Maryke Labuschagne, C. A. Kimbeng, Eastonce T. Gwata, Michael J. Savage, A. Singels, K. A. Gravois, Thomas L. Tew, M. J. Pontif, Gillian Eggleston and Márcio Henrique Pereira Barbosa and has published in prestigious journals such as Field Crops Research, Crop Science and Agronomy Journal.

In The Last Decade

Marvellous Zhou

73 papers receiving 522 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Marvellous Zhou South Africa 12 512 245 50 48 41 75 544
Ricardo Augusto de Oliveira Brazil 14 503 1.0× 107 0.4× 142 2.8× 37 0.8× 36 0.9× 75 573
Serge J. Edmé United States 14 574 1.1× 183 0.7× 48 1.0× 167 3.5× 33 0.8× 52 628
S. B. Milligan United States 16 764 1.5× 323 1.3× 45 0.9× 157 3.3× 32 0.8× 36 802
K. P. Bischoff United States 11 517 1.0× 192 0.8× 27 0.5× 194 4.0× 19 0.5× 19 550
Bruno Portela Brasileiro Brazil 10 237 0.5× 85 0.3× 29 0.6× 51 1.1× 15 0.4× 46 272
Mauro Alexandre Xavier Brazil 10 332 0.6× 86 0.4× 68 1.4× 169 3.5× 21 0.5× 35 427
G. Hemaprabha India 14 658 1.3× 245 1.0× 24 0.5× 149 3.1× 62 1.5× 76 707
Jorge A. da Silva United States 13 339 0.7× 61 0.2× 21 0.4× 125 2.6× 28 0.7× 36 450
Hermann Paulo Hoffmann Brazil 11 418 0.8× 129 0.5× 26 0.5× 178 3.7× 31 0.8× 29 468
Neeraj Kulshreshtha India 13 452 0.9× 43 0.2× 40 0.8× 34 0.7× 11 0.3× 34 486

Countries citing papers authored by Marvellous Zhou

Since Specialization
Citations

This map shows the geographic impact of Marvellous Zhou's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Marvellous Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marvellous Zhou more than expected).

Fields of papers citing papers by Marvellous Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marvellous Zhou. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Marvellous Zhou. The network helps show where Marvellous Zhou may publish in the future.

Co-authorship network of co-authors of Marvellous Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Marvellous Zhou. A scholar is included among the top collaborators of Marvellous Zhou based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marvellous Zhou. Marvellous Zhou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Zhou, Marvellous. (2024). Genetic, breeding and environmental parameters for yellow sugarcane aphid ( Sipha flava ) damage in advanced South African sugarcane breeding populations. South African Journal of Plant and Soil. 41(1-3). 26–35. 1 indexed citations
3.
Franke, A.C., et al.. (2024). Impact of soil type and harvest season on the ratooning ability of sugarcane varieties. Experimental Agriculture. 60. 2 indexed citations
4.
Zhou, Marvellous, et al.. (2022). Soils and seasons effect on sugarcane ratoon yield. Field Crops Research. 284. 108588–108588. 13 indexed citations
5.
Gwata, Eastonce T., et al.. (2021). Symbiotic efficiency of pigeonpea (Cajanus cajan(L.) Huth) with different sources of nitrogen. Plant Genetic Resources. 19(4). 312–315. 5 indexed citations
6.
Zhou, Marvellous, et al.. (2020). Trends in family and individual genotype variance components and broad-sense heritability among unselected South African sugarcane breeding populations. South African Journal of Plant and Soil. 37(5). 367–375. 3 indexed citations
7.
Kader, Farzeen, Meenu Ghai, & Marvellous Zhou. (2020). Ethnicity, age and disease-associated variation in body fluid-specific CpG sites in a diverse South African cohort. Forensic Science International. 314. 110372–110372. 4 indexed citations
8.
Zhou, Marvellous, et al.. (2019). Using quantitative genetic parameters to determine sample size for sucrose content in sugarcane breeding.. 43–46. 1 indexed citations
9.
Zhou, Marvellous, et al.. (2019). Phenotypic correlations of leaf-shedding and fibre content with yield and quality traits in sugarcane genotypes.. 167–170. 1 indexed citations
10.
Zhou, Marvellous, et al.. (2018). Phenotypic correlations among cane quality traits measured from unselected sugarcane breeding family plots.. 173–176. 1 indexed citations
11.
Zhou, Marvellous. (2017). Simultaneous selection for multiple traits in sugarcane breeding populations using logistic regression models. South African Journal of Plant and Soil. 35(3). 165–171. 3 indexed citations
12.
Zhou, Marvellous. (2015). Influence of locations and seasons and their implications on breeding for sugarcane yield and sucrose content in the irrigated region of South Africa.. 403–412. 3 indexed citations
13.
Barbosa, Márcio Henrique Pereira, et al.. (2014). Relationships between methods of variety adaptability and stability in sugarcane. Genetics and Molecular Research. 13(2). 4216–4225. 12 indexed citations
14.
Zhou, Marvellous, et al.. (2014). Effect of photoperiod treatments on pollen viability and flowering at the South African Sugarcane Research Institute.. 286–290. 6 indexed citations
15.
Zhou, Marvellous. (2014). Family Evaluation for Sugarcane Yield Using Data Estimated from Stalk Number, Height, and Diameter. Journal of Crop Improvement. 28(3). 406–417. 12 indexed citations
16.
Zhou, Marvellous, et al.. (2011). Seasonal and varietal effects on tiller population development of sugarcane (Saccharum OfficinarumL.). South African Journal of Plant and Soil. 28(1). 11–16. 10 indexed citations
17.
Zhou, Marvellous, et al.. (2011). COMPONENTS OF GENOTYPE BY ENVIRONMENT INTERACTION AMONG SASRI REGIONAL BREEDING AND SELECTION PROGRAMMES AND THEIR IMPLICATIONS. 359–374. 10 indexed citations
18.
Zhou, Marvellous, et al.. (2009). Nematode diversity in a soybean-sugarcane production system in a semi-arid region of Zimbabwe. 1(2). 25–28. 5 indexed citations
19.
Kimbeng, C. A., et al.. (2009). Genotype × environment interactions and resource allocation in sugarcane yield trials in the Rio Grande Valley region of Texas.. 29. 11–24. 24 indexed citations
20.
Zhou, Marvellous, et al.. (2007). The potential of reducing nitrogen fertilizer rates using a soyabean-sugarcane production system in the South Eastern Lowveld of Zimbabwe. African Journal of Agricultural Research. 2(9). 475–480. 7 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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